Triple
T13952942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican Federal Highway 110 |
E335576
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Yurécuaro
Yurécuaro is a town in the state of Michoacán, Mexico, known as a regional agricultural center near the border with Jalisco.
|
E1144684
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yurécuaro | Statement: [Mexican Federal Highway 110, connectsCity, Yurécuaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yurécuaro Context triple: [Mexican Federal Highway 110, connectsCity, Yurécuaro]
-
A.
Uruapan
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
-
B.
Juanacatlán
Juanacatlán is a municipality in the state of Jalisco, Mexico, known for its proximity to the Santiago River and the Juanacatlán Falls.
-
C.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
D.
Yautepec
Yautepec is a municipality in the Mexican state of Morelos known for its warm climate, agriculture, and growing tourism and residential developments.
-
E.
Tecomán
Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yurécuaro Triple: [Mexican Federal Highway 110, connectsCity, Yurécuaro]
Generated description
Yurécuaro is a town in the state of Michoacán, Mexico, known as a regional agricultural center near the border with Jalisco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yurécuaro Target entity description: Yurécuaro is a town in the state of Michoacán, Mexico, known as a regional agricultural center near the border with Jalisco.
-
A.
Uruapan
Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
-
B.
Juanacatlán
Juanacatlán is a municipality in the state of Jalisco, Mexico, known for its proximity to the Santiago River and the Juanacatlán Falls.
-
C.
Juanacatlán
Juanacatlán is a Mexico City Metro station on Line 1, located near the Condesa and San Miguel Chapultepec neighborhoods.
-
D.
Yautepec
Yautepec is a municipality in the Mexican state of Morelos known for its warm climate, agriculture, and growing tourism and residential developments.
-
E.
Tecomán
Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd19164481909c2f35fbebf6150e |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede23eab88190ab026382ba3ea06b |
completed | May 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fede93c6a88190afc35f9e3f16a6f2 |
completed | May 9, 2026, 7:13 a.m. |
Created at: April 9, 2026, 10:17 p.m.